Software Engineering (SE346) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Engineering SE346 6. Semester 3 1 2 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Service Courses Taken From Other Departments
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce computer software and its types, the fundamental concepts of Software Engineering discipline, various software process models, the phased-approach of software development, and activities of each phase, the tools and techniques used in various activities of the phased-approach of software development, software project and configuration management concepts, quality assurance, software engineering economics, and other Software Engineering issues such as ethical and professional issues.
Course Learning Outcomes The students who succeeded in this course;
  • Describe methods for the analysis, design and maintenance of software systems
  • Gain necessary information for the analysis and design of quality software
  • Identify the development life cycle and related process and methods
  • Explain basics of software project management and its main drivers such as cost, schedule, quality and risk
  • Use software metrics to measure software quality and project performance
  • Attain knowledge on the use of CASE tools
Course Content Software project management: metrics, estimation, scheduling, planning; software requirement analysis techniques, software design techniques, software implementation, software quality assurance and testing, software maintenance, software configuration management, risk management in software development projects, recent trends and methods in softwar

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction (Ch.1)
2 Software processes (Ch.2)
3 Agile software development (Ch.3)
4 Requirements engineering (Ch.4)
5 System modeling (Ch.5)
6 Architectural design (Ch.6)
7 Design and implementation (Ch.7)
8 Design and implementation - Continued (Ch.7)
9 Software testing (CH.8)
10 Software evolution (Ch.9)
11 Project management (Ch.22)
12 Project planning (Ch.23)
13 Quality management (Ch.24)
14 Configuration management (Ch.25)

Sources

Course Book 1. Sommerville, I., Software Engineering, Addison-Wesley, 2016 (10th edition)
Other Sources 2. Pressman, R. S. ve Maxim, B. Software Engineering, McGraw Hill, 2014 (8th edition)
3. ISO/IEC TR 19759:2005, Software Engineering - Guide to the Software Engineering Body of Knowledge (SWEBOK), ANSI, 2007
4. Van Vliet, H., Software Engineering: Principles and Practice, Wiley, 2008 (1st edition)
5. Tsui, F. F., Karam, O., Essentials of Software Engineering, Jones & Bartlett Publishers, 2006 (1st edition)
6. Schach, S. R., Object-oriented and Classical Software Engineering, McGraw Hill, 2010 (8th edition)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 1 10
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 7 95
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems.
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose. X
3 Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose. X
4 Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively. X
5 Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering.
6 Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually.
7 Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
8 Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
9 Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself.
10 Acts in accordance with ethical principles and has awareness of professional and ethical responsibility.
11 Has knowledge about the standards used in computer engineering applications.
12 Has knowledge about workplace practices such as project management, risk management, and change management. X
13 Gains awareness about entrepreneurship and innovation.
14 Has knowledge about sustainable development.
15 Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering.
16 Gains awareness of the legal consequences of engineering solutions.
17 Analyzes, designs, and expresses numerical computation and digital representation systems.
18 Uses programming languages and appropriate computer engineering concepts to solve computational problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 158